منابع مشابه
A New Class of Spatial Covariance Functions Generated by Higher-order Kernels
Covariance functions and variograms play a fundamental role in exploratory analysis and statistical modelling of spatial and spatio-temporal datasets. In this paper, we construct a new class of spatial covariance functions using the Fourier transform of some higher-order kernels. Moreover, we extend this class of spatial covariance functions to the spatio-temporal setting using the idea used in...
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In some important applications such as speaker recognition or image texture classification, the data to be processed are sets of vectors. As opposed to standard settings where the data are individual vectors, it is difficult to design a reliable kernel between sets of vectors of possibly different cardinality. In this paper, we build kernels between sets of vectors from probability density func...
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We mainly investigate the global behavior to the family of higher-order nonautonomous recursive equations given by yn p ryn−s / q φn yn−1, yn−2, . . . , yn−m yn−s , n ∈ N0, with p ≥ 0, r, q > 0, s,m ∈ N and positive initial values, and present some sufficient conditions for the parameters andmaps φn : R m → R , n ∈ N0, under which every positive solution to the equation converges to zero or a u...
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ژورنال
عنوان ژورنال: Proceedings of the American Mathematical Society
سال: 1962
ISSN: 0002-9939
DOI: 10.2307/2034945